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Graph Attention Networks

30 October 2017

Papers citing "Graph Attention Networks"

50 / 6,901 papers shown

Title
Graph Agent: Explicit Reasoning Agent for Graphs Qinyong Wang Zhenxiang Gao Rong Xu AI4CE 55 5 0 25 Oct 2023
Graph Neural Networks with a Distribution of Parametrized Graphs See Hian Lee Feng Ji Kelin Xia Wee Peng Tay 72 0 0 25 Oct 2023
A Causal Disentangled Multi-Granularity Graph Classification Method Yuan Li Li Liu Penggang Chen Youmin Zhang Guoyin Wang 37 1 0 25 Oct 2023
Hierarchical Randomized Smoothing Yan Scholten Jan Schuchardt Aleksandar Bojchevski Stephan Günnemann AAML 129 5 0 24 Oct 2023
Context-aware feature attribution through argumentation Jinfeng Zhong E. Negre FAtt 60 0 0 24 Oct 2023
Context-aware explainable recommendations over knowledge graphs Jinfeng Zhong E. Negre 39 1 0 24 Oct 2023
Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships Abhra Chaudhuri Massimiliano Mancini Zeynep Akata Anjan Dutta 56 2 0 24 Oct 2023
CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code Tong Ye Lingfei Wu Tengfei Ma Xuhong Zhang Yangkai Du Peiyu Liu Shouling Ji Wenhai Wang 59 14 0 24 Oct 2023
Solving the flexible job-shop scheduling problem through an enhanced deep reinforcement learning approach Imanol Echeverria M. Murua Roberto Santana OffRL 54 1 0 24 Oct 2023
Enhancing Biomedical Lay Summarisation with External Knowledge Graphs Tomas Goldsack Zhihao Zhang Chen Tang Carolina Scarton Chenghua Lin 55 10 0 24 Oct 2023
Deceptive Fairness Attacks on Graphs via Meta Learning Jian Kang Yinglong Xia Ross Maciejewski Jiebo Luo Hanghang Tong 72 5 0 24 Oct 2023
Generative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning Yuxiang Wang Xiao Yan Chuang Hu Fangcheng Fu Wentao Zhang Hao Wang Shuo Shang Jiawei Jiang SSL 81 6 0 24 Oct 2023
Graph Deep Learning for Time Series Forecasting Andrea Cini Ivan Marisca Daniele Zambon Cesare Alippi AI4TS AI4CE 124 16 0 24 Oct 2023
GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs Yichuan Li Kaize Ding Kyumin Lee SSL 88 25 0 23 Oct 2023
A Study on Knowledge Graph Embeddings and Graph Neural Networks for Web Of Things Rohith T. Mittakola Thomas Hassan GNN 35 0 0 23 Oct 2023
ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt Mouxiang Chen Zemin Liu Chenghao Liu Jundong Li Qiheng Mao Jianling Sun AAML 85 14 0 23 Oct 2023
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels Xin-Yang Zheng Miao Zhang C. Chen Soheila Molaei Chuan Zhou Shirui Pan GNN 92 15 0 23 Oct 2023
Knowledge-Induced Medicine Prescribing Network for Medication Recommendation A. Mulyadi Heung-Il Suk 68 1 0 23 Oct 2023
Marginal Nodes Matter: Towards Structure Fairness in Graphs Xiaotian Han Kaixiong Zhou Ting-Hsiang Wang Jundong Li Fei Wang Na Zou 72 1 0 23 Oct 2023
Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient Method Yulan Hu Ouyang Sheng Jingyu Liu Ge Chen Zhirui Yang Junchen Wan Fuzheng Zhang Zhongyuan Wang Yong Liu 57 1 0 23 Oct 2023
Efficient Heterogeneous Graph Learning via Random Projection Jun Hu Bryan Hooi Bingsheng He 104 12 0 23 Oct 2023
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries Haitz Sáez de Ocáriz Borde Anastasis Kratsios 186 5 0 23 Oct 2023
Ensemble Learning for Graph Neural Networks Zhen Hao Wong Ling Yue Quanming Yao 89 0 0 22 Oct 2023
GASCOM: Graph-based Attentive Semantic Context Modeling for Online Conversation Understanding Vibhor Agarwal Yu Chen Nishanth R. Sastry 56 0 0 21 Oct 2023
Adversarial Attacks on Fairness of Graph Neural Networks Binchi Zhang Yushun Dong Chen Chen Yada Zhu Minnan Luo Jundong Li 90 3 0 20 Oct 2023
Graph AI in Medicine Ruth Johnson Michelle M. Li Ayush Noori Owen Queen Marinka Zitnik 89 4 0 20 Oct 2023
Positive-Unlabeled Node Classification with Structure-aware Graph Learning Hansi Yang Yongqi Zhang Quanming Yao James T. Kwok 118 6 0 20 Oct 2023
Improving Question Generation with Multi-level Content Planning Zehua Xia Qi Gou Bowen Yu Haiyang Yu Fei Huang Yongbin Li Cam-Tu Nguyen 30 8 0 20 Oct 2023
InvGC: Robust Cross-Modal Retrieval by Inverse Graph Convolution Xiangru Jian Yimu Wang 61 5 0 20 Oct 2023
GARI: Graph Attention for Relative Isomorphism of Arabic Word Embeddings Muhammad Asif Ali Maha Alshmrani Jianbin Qin Yan Hu Di Wang 55 4 0 19 Oct 2023
Open-World Lifelong Graph Learning Marcel Hoffmann Lukas Galke A. Scherp 98 5 0 19 Oct 2023
DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text Shuaiyi Li Yang Deng Wai Lam 93 2 0 19 Oct 2023
GraphGPT: Graph Instruction Tuning for Large Language Models Jiabin Tang Yuhao Yang Wei Wei Lei Shi Lixin Su Suqi Cheng Dawei Yin Chao Huang 153 148 0 19 Oct 2023
Cooperative Minibatching in Graph Neural Networks M. F. Balin Dominique LaSalle Ümit V. Çatalyürek GNN 69 1 0 19 Oct 2023
Networkwide Traffic State Forecasting Using Exogenous Information: A Multi-Dimensional Graph Attention-Based Approach Syed Islam Monika Filipovska AI4TS 45 0 0 18 Oct 2023
Open-Set Multivariate Time-Series Anomaly Detection Thomas Lai Thi Kieu Khanh Ho Narges Armanfard AI4TS 91 3 0 18 Oct 2023
Gold: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise Detection Zheye Deng Weiqi Wang Zhaowei Wang Xin Liu Yangqiu Song 58 9 0 18 Oct 2023
De novo protein design using geometric vector field networks Weian Mao Muzhi Zhu Zheng Sun Shuaike Shen Lin Yuanbo Wu Hao Chen Chunhua Shen DiffM 61 14 0 18 Oct 2023
NeuroCUT: A Neural Approach for Robust Graph Partitioning Rishi Shah Krishnanshu Jain S. Manchanda Sourav Medya Sayan Ranu 52 3 0 18 Oct 2023
A Quasi-Wasserstein Loss for Learning Graph Neural Networks Minjie Cheng Hongteng Xu 76 1 0 18 Oct 2023
Architectural Implications of GNN Aggregation Programming Abstractions Yingjie Qi Jianlei Yang Ao Zhou Tong Qiao Chunming Hu GNN AI4CE 67 5 0 18 Oct 2023
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection Junjun Pan Yixin Liu Yizhen Zheng Shirui Pan 100 20 0 18 Oct 2023
Hetero $^2$ Net: Heterophily-aware Representation Learning on Heterogenerous Graphs Jintang Li Zheng Wei Jiawang Dan Jing Zhou Yuchang Zhu ... Zhang Zhen Changhua Meng Hong Jin Zibin Zheng Liang Chen 57 3 0 18 Oct 2023
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection Chaoyue Ding Shiliang Sun Jing Zhao AI4TS 83 155 0 17 Oct 2023
Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning Yulan Hu Zhirui Yang Ouyang Sheng Yong Liu 66 1 0 17 Oct 2023
Multi-omics Sampling-based Graph Transformer for Synthetic Lethality Prediction Xusheng Zhao Hao Liu Qiong Dai Hao Peng Xu Bai Huailiang Peng 44 2 0 17 Oct 2023
SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning Jinsong Chen Gaichao Li John E. Hopcroft Kun He SLR 85 5 0 17 Oct 2023
LPFormer: An Adaptive Graph Transformer for Link Prediction Harry Shomer Yao Ma Haitao Mao Juanhui Li Bo Wu Jiliang Tang 100 8 0 17 Oct 2023
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation Xin Gao Wentao Zhang Junliang Yu Yingxiao Shao Quoc Viet Hung Nguyen Tengjiao Wang Hongzhi Yin AI4CE GNN 116 10 0 17 Oct 2023
Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems Chendi Qian Didier Chételat Christopher Morris 97 19 0 16 Oct 2023